24 papers · ranked by Valyu relevance
Richard Robinson
Functional magnetic resonance imaging offers the promise of peeking into the human mind. What signals in the human brain can we really detect and how should the technology be used?
José M. Soares, Ricardo Magalhães, Pedro S. Moreira, Alexandre Sousa + 5 more
'Edward Ganz' 'Adriana Sampaio' 'Victor Alves' 'Paulo Marques' 'Nuno Sousa'] Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular both with clinicians and researchers as they are capable of providing unique insights into brain functions. However, multiple technical considerations…
Maxim Sharaev, A. V. Andreev, Alexey Artemov, Alexander Bernstein + 4 more
'Evgeny Burnaev' 'E. I. Kondratyeva' 'Svetlana Sushchinskaya' 'R G Akzhigitov'] | Maxim Sharaev | M.SHARAEV@SKOLTECH.RU | | --- | --- | | Skolkovo Institute of Science and Technology, Skolkovo, Moscow Region, Russia | | | Alexander Andreev | AANDREEV@DELOITTE.RU | | Deloitte Analytics Institute, Moscow, Russia | | |…
CF Ferris, M Febo, F Luo, K Schmidt + 5 more
'P Kulkarni' 'T Messenger' 'JA King'] Introduction Functional magnetic resonance imaging (fMRI) is a unique window to the brain, enabling scientists to follow changes in brain activity in response to hormones, ageing, environment, drugs of abuse and other stimuli. There are two features that make fMRI unique when…
Nivedita Daimiwal, Mahalingam Sundhararajan, Revati Shriram
— Brain-mapping techniques have proven to be vital in understanding the molecular, cellular, and functional mechanisms of the brain. Normal anatomical imaging can provide structural information on certain abnormalities in the brain. However there are many neurological disorders for which only structure studies are not…
Elena Rusconi, Timothy Mitchener-Nissen
Following the demise of the polygraph, supporters of assisted scientific lie detection tools have enthusiastically appropriated neuroimaging technologies “as the savior of scientifically verifiable lie detection in the courtroom” (Gerard, [23]: 5). These proponents believe the future impact of neuroscience “will be…
Chandrasekharan Kesavadas, Bejoy Thomas
The role of functional MRI (fMRI) in the presurgical evaluation of patients with intractable epilepsy is being increasingly recognized. Real-time fMRI is an easily performable diagnostic technique in the clinical setting. It has become a noninvasive alternative to intraoperative cortical stimulation and the Wada test…
Shengyong Chen, Xiaoli Li
Functional magnetic resonance imaging (fMRI) is recently developed and applied to measure the hemodynamic response related to neural activity. The fMRI can not only noninvasively record brain signals without risks of ionising radiation inherent in other scanning methods, such as CT or PET scans, but also record signal…
Jessica-Lily Harvey, Lysia Demetriou, John McGonigle, Matthew B Wall
Functional magnetic resonance imaging (fMRI) is a popular method for examining pharmacological effects on the brain; however the BOLD response is an indirect measure of neural activity, and as such is vulnerable to confounding effects of pharmacological probes. Controlling for such non-specific effects in…
Yifei Hu, X. Jessie Jeng
Accurate delineation of tumor-adjacent functional brain regions is essential for planning function-preserving neurosurgery. Functional magnetic resonance imaging (fMRI) is increasingly used for presurgical counseling and planning. When analyzing presurgical fMRI data, false negatives are more dangerous to the patients…
Yang Wang, Dongrui Wu
In recent years, the rapid development of neuroimaging technology has been providing many powerful tools for cognitive neuroscience research. Among them, the functional magnetic resonance imaging (fMRI), which has high spatial resolution, acceptable temporal resolution, simple calibration, and short preparation time…
Alexandria M Jensen, Jason R Tregellas, Brianne Sutton, Fuyong Xing + 1 more
Applications of quantitative network analysis to functional brain connectivity have become popular in the last decade due to their ability to describe the general topological principles of brain networks. However, many issues arise when standard statistical analysis techniques are applied to functional magnetic…
Wei‐Chen Chen, Ranjan Maitra
Article history: Received 24 Nov 2021 Received in final form 10 Jan 2022 Accepted 13 Jan 2022 Available online 15 Jan 2022 2000 MSC: 41A05, 41A10, 65D05, 65D17 Keywords: Alternating Partial Expectation Conditional Maximization algorithm, Cluster thresholding, Expectation Gathering Maximization algorithm, False…
Authors not listed
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and widespread neurovascular disturbances. Traditional fMRI provides valuable spatial maps of blood-oxygen-level-dependent (BOLD) changes but often lacks the capacity to quantify the interplay of cerebral blood flow…
Arthur P C Spencer, Jasmine Nguyen-Duc, Inès de Riedmatten, Filip Szczepankiewicz + 1 more
Functional MRI (fMRI) using the blood-oxygen level dependent (BOLD) signal provides valuable insight into grey matter activity. However, uncertainty surrounds the white matter BOLD signal. Apparent diffusion coefficient (ADC) offers an alternative fMRI contrast sensitive to transient cellular deformations during neural…
Jakub Kopal, Anna Pidnebesna, David Tomeček, Jaroslav Tintěra + 1 more
Functional connectivity analysis of resting state fMRI data has recently become one of the most common approaches to characterizing individual brain function. It has been widely suggested that the functional connectivity matrix, calculated by correlating signals from regions of interest, is a useful approximate…
Yury Koush, Mark A. Elliott, Klaus Mathiak
Echo-planar imaging (EPI) in fMRI is regularly used to reveal BOLD activation in presubscribed regions of interest (ROI). The response is mediated by relative changes in T2 which appear as changes in the image pixel intensities. We have proposed an application of functional single-voxel proton spectroscopy (fSVPS) for…
Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello + 1 more
'Weili Lin'] > In the event-related functional magnetic resonance imaging (fMRI) data analysis, there is an extensive interest in accurately and robustly estimating the hemodynamic response function (HRF) and its associated statistics (e.g., the magnitude and duration of the activation). Most methods to date are…
L. E. Stoeckel, K.A. Garrison, S. Ghosh, P. Wighton + 21 more
While reducing the burden of brain disorders remains a top priority of organizations like the World Health Organization and National Institutes of Health (6), the development of novel, safe and effective treatments for brain disorders has been slow. In this paper, we describe the state of the science for an emerging…
Manuel Morante, Kristian Frølich, Naveed ur Rehman
connectivity at different timescales Authors: ['Manuel Morante' 'Kristian Frølich' 'Naveed ur Rehman'] Human brains exhibit highly organized multiscale neurophysiological dynamics. Understanding those dynamic changes and the neuronal networks involved is critical for understanding how the brain functions in health and…
Truc Chu, Kiyomitstu Niioka, Ippeita Dan, Sungho Tak
Functional near-infrared spectroscopy (fNIRS) is an optical neuroimaging technique that measures brain activity by detecting changes in oxygenated and deoxygenated hemoglobin concentrations. Although methods exist for estimating causal interactions among brain regions using fNIRS data, current approaches typically rely…
James Eills, Eleonora Cavallari, Carla Carrera, Dmitry Budker + 2 more
Hyperpolarized fumarate can be used as a probe of real-time metabolism in vivo, using carbon-13 magnetic resonance imaging. Dissolution dynamic nuclear polarization is commonly used to produce hyperpolarized fumarate, but a cheaper and faster alternative is to produce hyperpolarized fumarate via PHIP (parahydrogen…
Authors not listed
Understanding the spatial organization and dynamics of physicochemical processes in operating catalytic reactors is essential for optimizing their performance. Unfortunately, the power of NMR-based techniques is significantly impaired in such studies due to severe broadening and distortions of NMR signals caused by the…
Authors not listed
This report compares various simulation and data analysis methods for free induction decay (FID) signals in Nuclear Magnetic Resonance (NMR) Spectroscopy. The methods discussed include discrete fast Fourier transformation (FFT), least squares fitting (LSF), short-time Fourier transformation (STFT), and wavelet…